Liu Xinyu

TL;DR: In this paper, a session recommendation list generation method based on adversarial learning is proposed, and the method comprises the following steps: a data set which comprises a plurality of sessions is obtained, which carries out the preprocessing of the data set, and a training data set and a testing data set are obtained; a generation model is pre-trained by using the preprocessed data set; anegative sample is generated by the generation model, and an adversarial sample is used by the discriminator to confront each other and are updated iteratively until the generator converges to